76 citations · 114 across the 3 of their papers we have counts for
3 papers
astro-ph.SR2020★ 76 cited
Forecasting Solar Cycle 25 using Deep Neural Networks
B. Benson, W. D. Pan, A. Prasad +2
With recent advances in the field of machine learning, the use of deep neural networks for time series forecasting has become more prevalent. The quasi-periodic nature of the solar…
astro-ph.SR2017★ 25 cited
Comparison of Two Coronal Magnetic Field Models for Reconstructing a Sigmoidal Solar Active Region With Coronal Loops
Aiying Duan, Chaowei Jiang, Qiang Hu +4
Magnetic field extrapolation is an important tool to study the three-dimensional (3D) solar coronal magnetic field which is difficult to directly measure. Various analytic models a…
astro-ph.SR2011★ 13 cited
Response to "Comment on `Resolving the 180deg Ambiguity in Solar Vector Magnetic Field Data: Evaluating the Effects of Noise, Spatial Resolution, and Method Assumptions'"
K. D. Leka, Graham Barnes, G. Allen Gary +2
We address points recently discussed in Georgoulis (2011) in reference to Leka et al. (2009b). Most importantly, we find that the results of Georgoulis (2011) support a conclusion…